关于机器智能与生活智能的讨论需要更加明确

IF 18.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Nature Machine Intelligence Pub Date : 2024-12-13 DOI:10.1038/s42256-024-00955-y

Nicolas Rouleau, Michael Levin

引用次数: 0

摘要

通常对机器智能和生物智能的明确区分并没有跟上发育生物学和混合机器人学领域的进步。我们呼吁，在非传统空间、陌生尺度和体现方式下的多样化智能科学，应使概念更加清晰，从而模糊传统范畴。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Discussions of machine versus living intelligence need more clarity

查看原文本刊更多论文

Discussions of machine versus living intelligence need more clarity

Sharp distinctions often drawn between machine and biological intelligences have not tracked advances in the fields of developmental biology and hybrid robotics. We call for conceptual clarity driven by the science of diverse intelligences in unconventional spaces and at unfamiliar scales and embodiments that blur conventional categories.

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来源期刊

Nature Machine Intelligence Multiple-

CiteScore

36.90

自引率

2.10%

发文量

127

期刊介绍： Nature Machine Intelligence is a distinguished publication that presents original research and reviews on various topics in machine learning, robotics, and AI. Our focus extends beyond these fields, exploring their profound impact on other scientific disciplines, as well as societal and industrial aspects. We recognize limitless possibilities wherein machine intelligence can augment human capabilities and knowledge in domains like scientific exploration, healthcare, medical diagnostics, and the creation of safe and sustainable cities, transportation, and agriculture. Simultaneously, we acknowledge the emergence of ethical, social, and legal concerns due to the rapid pace of advancements. To foster interdisciplinary discussions on these far-reaching implications, Nature Machine Intelligence serves as a platform for dialogue facilitated through Comments, News Features, News & Views articles, and Correspondence. Our goal is to encourage a comprehensive examination of these subjects. Similar to all Nature-branded journals, Nature Machine Intelligence operates under the guidance of a team of skilled editors. We adhere to a fair and rigorous peer-review process, ensuring high standards of copy-editing and production, swift publication, and editorial independence.